Mitigating routing misbehavior in mobile ad hoc networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Performance analysis of the CONFIDANT protocol
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Core: a collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks
Proceedings of the IFIP TC6/TC11 Sixth Joint Working Conference on Communications and Multimedia Security: Advanced Communications and Multimedia Security
A Test-Bed for Misbehavior Detection in Mobile Ad-hoc Networks " How Much Can Watchdogs Really Do?
WMCSA '04 Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications
Trust Enhanced Secure Mobile Ad-Hoc Network Routing
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
ICIMP '07 Proceedings of the Second International Conference on Internet Monitoring and Protection
Reputation-based framework for high integrity sensor networks
ACM Transactions on Sensor Networks (TOSN)
Dynamic Data Driven Applications Systems --- DDDAS 2008
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Event-based Trust Framework Model in Wireless Sensor Networks
NAS '08 Proceedings of the 2008 International Conference on Networking, Architecture, and Storage
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
A survey of security issues in mobile ad hoc and sensor networks
IEEE Communications Surveys & Tutorials
Self-policing mobile ad hoc networks by reputation systems
IEEE Communications Magazine
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Collusion attacks remain a major problem of reputation and trust models, in mobile ad hoc networks. By covering up malicious behaviour of one another from the remaining part of the network, two or more malicious nodes may collaborate to cause damage to or disrupt the network. A number of models exist, which have been proposed to address this issue. Despite these however, the assurance of trusted communication still remains a challenge in these networks. We present a dynamic trust model that detects malicious behaviour at runtime and prevents collusion attacks. Our proposed model employs a novel approach that has the advantage of predicting the future trustworthiness of nodes, based on historical and online behaviour of nodes. This is achieved by an architecture that applies the paradigm of Dynamic Data Driven Application Systems, in solving the problem of collusion attacks in mobile networks.